{"id":"W7000154229","doi":"","title":"Environmental Regulation and Productivity: New Findings on the Porter Analysis","year":2004,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Relation (database); Concurrence; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002459743,0.0002815496,0.0003991509,0.000208653,0.0009084077,0.0002026929,0.0003598007,0.00009543459,0.000200358],"category_scores_gemma":[0.00003774928,0.0002622675,0.0000999312,0.00032139,0.0005724507,0.001773987,0.0006606474,0.0001386315,0.0000249579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638244,"about_ca_system_score_gemma":0.00003419805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009947935,"about_ca_topic_score_gemma":0.003872701,"domain_scores_codex":[0.9982689,0.00004147354,0.0002981457,0.0007570582,0.0003766689,0.0002577468],"domain_scores_gemma":[0.9985335,0.00007257095,0.0004556394,0.0008294625,0.0000532943,0.00005548273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001336818,0.001612582,0.5695933,0.0007618577,0.01052848,0.0004811308,0.001346351,0.001870707,0.001970537,0.04817723,0.2425188,0.1198023],"study_design_scores_gemma":[0.001470461,0.00005085687,0.6933537,0.000190204,0.002573161,0.00001957523,0.001017295,0.0004963964,0.00006420165,0.001560541,0.298832,0.0003716617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518767,0.006956541,0.0004107067,0.03167627,0.0005893016,0.0006707754,0.0001466507,0.00004722198,0.007625846],"genre_scores_gemma":[0.975414,0.001582604,0.0001038494,0.0001755886,0.0003059884,5.83957e-7,0.0001772783,0.00001294534,0.02222721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237604,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420708532180254,"score_gpt":0.1972336220279907,"score_spread":0.1830265367061881,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}